Real-Time Bibliometrics: Dimensions as a Resource for Analyzing Aspects of COVID-19.
Real-Time Bibliometrics: Dimensions as a Resource for Analyzing Aspects of COVID-19.
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DOI：
10.3389/frma.2020.595299
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发表时间：
2020
影响因子：
--
通讯作者：
Herzog CT
中科院分区：
文献类型：
--
作者：
Hook DW;Porter SJ;Draux H;Herzog CT
Dimensions是作为一个平台建立的，允许研究界的利益相关者，包括学术文献计量学家，通过这些对象之间的联系，更容易地创建和理解不同类型的研究对象的背景。对象之间的链接是通过持久标识符和机器学习技术创建的，而额外的上下文是通过数据增强（如按对象分类和个人和机构消歧）引入的。虽然这些功能使最终用户可以使用分析用例，但COVID-19危机凸显了一系列不同的需求，即分析学术趋势：实时文献计量学。全文搜索、每日数据更新、包括预印本在内的广泛的学术对象和更广泛的数据字段的组合，为不同风格的分析拓宽了机会。这些新兴的能力的一个子集进行了讨论，并提出了三个基本的分析，实时文献计量学的潜力的插图。
Dimensions was built as a platform to allow stakeholders in the research community, including academic bibliometricians, to more easily create and understand the context of different types of research object through the linkages between these objects. Links between objects are created via persistent identifiers and machine learning techniques, while additional context is introduced via data enhancements such as per-object categorisations and person and institution disambiguation. While these features make analytical use cases accessible for end users, the COVID-19 crisis has highlighted a different set of needs to analyze trends in scholarship as they occur: Real-time bibliometrics. The combination of full-text search, daily data updates, a broad set of scholarly objects including pre-prints and a wider set of data fields for analysis, broadens opportunities for a different style of analysis. A subset of these emerging capabilities is discussed and three basic analyses are presented as illustrations of the potential for real-time bibliometrics.